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CQFD - 2017
Overall Objectives
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography
Overall Objectives
Application Domains
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography


2017 Project-Team Activity Report
CQFD
Quality control and dynamic reliability
Research centre: Bordeaux - Sud-Ouest
In partnership with: CNRS, Université de Bordeaux

In collaboration with: Institut de Mathématiques de Bordeaux (IMB)



Field: Applied Mathematics, Computation and Simulation

Theme: Stochastic approaches
Keywords:
Computer Science and Digital Science:
  • A1.1.6. - Cloud
  • A1.2.4. - QoS, performance evaluation
  • A1.3. - Distributed Systems
  • A3.3. - Data and knowledge analysis
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.7. - Kernel methods
  • A5.9.2. - Estimation, modeling
  • A5.9.6. - Optimization tools
  • A6.1.2. - Stochastic Modeling (SPDE, SDE)
  • A6.1.3. - Discrete Modeling (multi-agent, people centered)
  • A6.2.2. - Numerical probability
  • A6.2.3. - Probabilistic methods
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A6.4.2. - Stochastic control
  • A8.11. - Game Theory
  • A9.2. - Machine learning
  • A9.6. - Decision support
Other Research Topics and Application Domains:
  • B2.2.4. - Infectious diseases, Virology
  • B2.6.1. - Brain imaging
  • B5.9. - Industrial maintenance
  • B6.2. - Network technologies
  • B6.3.3. - Network Management
  • B6.5. - Information systems
  • B9.2.3. - Video games
  • B9.4.2. - Mathematics